Description
Big data i.e. large quantities of data from different sources require safe processing and storage. The data contains the sensitive details of the customer, or the omnipresent data obtained from different computers belonging to Cyber-world “daily.” Consumers have no clue about their data’s actual storage location and are also not aware of other sources that collect and use their data for their own reasons. Methods like encryption, recording, honeypot identification will be required to keep big data safer. Not only data protection concerns but privacy challenges must be considered in cloud computing. The growing usage of big data in industry, several companies are grappling the invasion of safety. Firstly, the problem with big data is its very huge and its computation storage needs huge amount of resources like memory, processer and storage capacity. So first of all, try to reduce the data and predict only sensitive data by efficient classification approach. Secondly improve the encryption. Thirdly Improve the computation in cloud by the proposed hybrid cloud scheduling approach.
